code: def test_create_keras_inputs(self):
      keras_inputs = feature.create_keras_inputs(
          context_feature_columns=self._context_feature_columns,
          example_feature_columns=self._example_feature_columns,
          size_feature_name="example_list_size",
      )
  
      self.assertCountEqual(
          keras_inputs.keys(),
          list(self._context_feature_columns.keys())
          + list(self._example_feature_columns.keys())
          + ["example_list_size"],
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import six
  import tensorflow.compat.v2
  from tensorflow_ranking.python.keras import feature
label_desc: Use image node_id 4 for calling the EncodeListwiseFeaturesTest obj's underlying member method code with example usage: obj.test_create_keras_inputs() without return types